Identification and co-evolution pattern of stem cell regulator miR394s and their targets among diverse plant species View Full Text


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Article Info

DATE

2019-12

AUTHORS

Ashutosh Kumar, Vibhav Gautam, Pramod Kumar, Shalini Mukherjee, Swati Verma, Ananda K. Sarkar

ABSTRACT

BACKGROUND: Micro RNAs (miRNAs), a class of small non-coding RNAs, have been implicated in various aspects of plant development. miR394 is required for shoot apical meristem organization, stem cell maintenance and abiotic stress responses in Arabidopsis, where it functions by negatively regulating the transcript level of target LEAF CURLING RESPONSIVENESS (LCR), which is an F-box protein-coding gene. The evolutionary conservation of stem cell regulatory miR394-LCR module among plants remains elusive. RESULTS: Our study has identified 79 miR394 and 43 target sequences across 40 plant species using various homology based search tools and databases, and analysed their co-evolution pattern. We customised an annotation workflow which computationally validates 20 novel miR394s from 14 plant species. Independent phylogenetic trees were reconstructed with precursor MIR394s, mature miR394s, and their target sequences along with complementary miR394 binding sites. The phylogeny revealed that mature sequences of miR394s as well as their targets belonging to the F-box protein encoding gene families, were highly conserved. Though, miR394-3p were complementary to miR394s/miR394-5p, they clustered separately. CONCLUSION: The existence and separate clustering of miR394-3p and miR394s/miR394-5p indicate their independent regulation. The phylogeny also suggests that miR394s had evolved at the beginning of gymnosperm-angiosperm divergence. Despite strong conservation, some level of sequence variation in miR394s and the complementary binding sites of their targets suggests possible functional diversification of miR394-LCR mediated stem cell regulation in plants. More... »

PAGES

55

References to SciGraph publications

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    URI

    http://scigraph.springernature.com/pub.10.1186/s12862-019-1382-7

    DOI

    http://dx.doi.org/10.1186/s12862-019-1382-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112138965

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30764768


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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12862-019-1382-7'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12862-019-1382-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12862-019-1382-7'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12862-019-1382-7'


     

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